AI Assessment Framework & Methodology

How the AI competency self-assessment is structured, scored, and mapped to industry standards.

How It Works

Four simple stages from start to training recommendations.

STAGE 01

Choose a Domain

Set your role: Leadership/Management, IT Division, or User Groups.

STAGE 02

Answer 10 / 25 / 50 Questions

Rate yourself on a 1–5 scale across AI knowledge and skills.

STAGE 03

See Your Results

Competency level, gap analysis, and detailed per-category charts.

STAGE 04

Training Recommendations

Get the training that matches your level and focus areas.

Domains & Competency Realms

A

Leadership / Management

For executives & decision-makers steering AI strategy, governance, and investment.

B

IT Division

For technical teams building, deploying, and securing AI systems.

C

User Groups

For end-users applying AI tools for everyday productivity.

KnowledgeSkillsAttitude

Category Breakdown

DomainCategoryRealm
Leadership / ManagementAI Strategy & VisionKnowledge
Leadership / ManagementGovernance, Ethics & RiskAttitude
Leadership / ManagementInvestment & Business ValueSkills
Leadership / ManagementChange Management & CultureAttitude
Leadership / ManagementUse-Case IdentificationSkills
IT DivisionAI/ML FoundationsKnowledge
IT DivisionData & InfrastructureSkills
IT DivisionModel Development & MLOpsSkills
IT DivisionSecurity & PrivacyAttitude
IT DivisionIntegration & DeploymentSkills
User GroupsAI LiteracyKnowledge
User GroupsPrompting & AI ToolsSkills
User GroupsProductivity ApplicationsSkills
User GroupsData & Ethics AwarenessAttitude
User GroupsVerification & Critical UseAttitude

HOW TO READ THE SCORES

All scores are on a 1–5 scale (1 = very low, 5 = very high). Levels: Beginner < 2.0 · Intermediate 2.0–2.99 · Advanced 3.0–3.99 · Expert ≥ 4.0.

BeginnerIntermediateAdvancedExpert

Standards & References

NIST AI RMF

AI risk management framework (Govern, Map, Measure, Manage).

ISO/IEC 42001

International AI management system standard.

ISO/IEC 27001

Information security management system standard.

EU AI Act

EU risk-based AI regulation.

OWASP LLM Top 10

Top ten security risks for LLM applications.

MITRE ATLAS

Knowledge base of adversary tactics against AI systems.

Google SAIF

Secure AI Framework for building safe AI.

NIST CSF 2.0

NIST Cybersecurity Framework.